OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Fault Diagnosis Method Based on Improved Adaptive Filtering and Joint Distribution Adaptation
Xu Zhang, Darong Huang, Guoxi Sun, et al.
IEEE Access (2020) Vol. 8, pp. 159683-159695
Open Access | Times Cited: 17

Showing 17 citing articles:

A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 88

A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42

A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20

An improved stochastic car-following model considering the complete state information of multiple preceding vehicles under connected vehicles environment
Xinyu Wu, Xinping Xiao
Physica A Statistical Mechanics and its Applications (2024) Vol. 644, pp. 129845-129845
Closed Access | Times Cited: 4

An Intelligent Fault Diagnosis Scheme for Rotating Machinery Based on Supervised Domain Adaptation With Manifold Embedding
Xiao Yu, Fei Dong, Bing Xia, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 953-972
Closed Access | Times Cited: 19

A noise reduction method of rolling bearing based on empirical wavelet transform and adaptive time frequency peak filtering
Jiantao Lu, Bin Jia, Shunming Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125146-125146
Closed Access | Times Cited: 11

A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation
He Ren, W.Y. Liu, Mengchen Shan, et al.
Renewable Energy (2020) Vol. 168, pp. 972-980
Closed Access | Times Cited: 31

A novel joint distinct subspace learning and dynamic distribution adaptation method for fault transfer diagnosis
Huoyao Xu, Junlang Wang, Jie Liu, et al.
Measurement (2022) Vol. 203, pp. 111986-111986
Closed Access | Times Cited: 15

Deep Transfer Network With Multi-Kernel Dynamic Distribution Adaptation for Cross-Machine Fault Diagnosis
Mingzhu Lv, Shixun Liu, Xiaoming Su, et al.
IEEE Access (2021) Vol. 9, pp. 16392-16409
Open Access | Times Cited: 19

Research on a Rolling Bearing Fault Detection Method With Wavelet Convolution Deep Transfer Learning
Mengliang Liao, Chang Liu, Cong Wang, et al.
IEEE Access (2021) Vol. 9, pp. 45175-45188
Open Access | Times Cited: 19

Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 45, Iss. 1
Closed Access | Times Cited: 13

A novel cross-domain tool breakage monitoring method based on locality preserving joint transfer with intra-class compactness
Zhixin Xiao, Haifeng Ma, Qinghua Song, et al.
Journal of Manufacturing Processes (2024) Vol. 116, pp. 149-164
Closed Access | Times Cited: 2

A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem
Zhongwei Zhang, Mingyu Shao, Liping Wang, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3382-3382
Open Access | Times Cited: 11

Cross-domain feature selection and diagnosis of oil and gas pipeline defects based on transfer learning
Linyu Wu, Wei Liang, Duolin Sha
Engineering Failure Analysis (2022) Vol. 143, pp. 106876-106876
Closed Access | Times Cited: 6

The Extraction Method of Gearbox Compound Fault Features Based on EEMD and Cloud Model
Ling Zhao, Jiaxing Gong, Chong Hu
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 6

Domain Adaptation for Intelligent Fault Diagnosis from Relation Perspective
Lv Tang, Qing Zhang, Jianping Xuan
Journal of Physics Conference Series (2022) Vol. 2184, Iss. 1, pp. 012014-012014
Open Access | Times Cited: 1

A Stacked Sparse Autoencoder Embedded Subspace Correlation Alignment Application to Fault Diagnosis of Rolling Bearings
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
SSRN Electronic Journal (2021)
Closed Access

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